Implementation Plan

Community

Neeeophytee

implementation-plan

Write an implementation plan that leads with the decisions the user is most likely to change, and buries the mechanical work at the bottom. Use when planning is requested before a build, especially after brainstorming or an interview.

Overview

Publisher	Neeeophytee
Repository	`finding-unknowns-skills`
Skill name	`implementation-plan`
Stars	353
Forks	28
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Neeeophytee on GitHub. Read the source before you install it.

Installation

Install the Implementation Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Neeeophytee/finding-unknowns-skills/tree/main/skills/implementation-plan
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Neeeophytee/finding-unknowns-skills/tree/main/skills/implementation-plan

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Neeeophytee/finding-unknowns-skills.git /tmp/finding-unknowns-skills
mkdir -p .claude/skills
cp -r /tmp/finding-unknowns-skills/skills/implementation-plan .claude/skills/implementation-plan

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implementation Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Implementation Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Implementation Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Implementation plan

A plan's job is not to prove you thought of everything. It's to put the reversible-but-expensive decisions in front of the user while changing them is still free. Order the plan by likelihood-of-tweaking, not by build order.

Steps

Open with a three-line summary: what is being built, the approach chosen, and the single riskiest assumption.
Section 1 — Decisions you'll probably want to tweak. Data model changes, new type interfaces, API shapes, anything user-facing. For each: the choice made, one alternative considered, and what changing it later would cost.
Section 2 — Known unknowns and how the plan absorbs them. Where ambiguity remains, state the default that will be taken and the signal that would trigger a pivot. A plan that admits its unknowns survives contact with the territory; one that doesn't just breaks quietly.
Section 3 — The mechanical work. Refactors, wiring, migrations, tests. Compress this; the user trusts you here and reviewing it is a waste of their attention.
End with the review request: the 2-4 specific items you want a yes/no or a pick on before starting.
If the plan is more than a screenful or the user prefers visual artifacts, offer it as a single self-contained HTML page — sections collapsible, tweakable decisions pinned to the top.

Guardrails

If a genuinely better approach appears mid-planning, present the pivot as its own decision — don't silently re-plan.
Keep it reviewable in minutes. A plan too long to read gets skimmed, and skimmed plans hide bad decisions.
The plan should leave room for improvisation during implementation; over-specified plans fail exactly where the territory disagrees with the map.

Frequently asked questions

What does the Implementation Plan AI skill do?

Why use Implementation Plan on TypingMind?

Because you install it once and use it with any model. Implementation Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Implementation Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Neeeophytee/finding-unknowns-skills/tree/main/skills/implementation-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Implementation Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Implementation Plan?

As many as you like. As long as a model supports skills, you can use Implementation Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Implementation Plan AI skill free?

Yes. It is published on GitHub by Neeeophytee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Implementation plan

Steps

Guardrails

Frequently asked questions

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